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SPGEN: Stata module to generate spatially lagged variables

Author

Listed:
  • Keisuke Kondo

    (Research Institute of Economy, Trade and Industry)

Programming Language

Stata

Abstract

spgen creates a spatially lagged variable in the dataset. The advantage of the spgen command is to enable us to calculate a spatial lagged variable even if a suitable shape file is not available. In other words, the spatial weight matrix is constructed only from the geographical information on latitude and longitude in the dataset.

Suggested Citation

  • Keisuke Kondo, 2015. "SPGEN: Stata module to generate spatially lagged variables," Statistical Software Components S458105, Boston College Department of Economics, revised 17 Jun 2021.
    • Handle: RePEc:boc:bocode:s458105
    Note: This module should be installed from within Stata by typing "ssc install spgen". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/spgen.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/spgen.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/spgen.pdf
    File Function: documentation
    Download Restriction: no
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    Citations

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    Cited by:

    1. KONDO Keisuke & OKUBO Toshihiro, 2020. "The Impact of Market Size on Firm Selection," Discussion papers 20053, Research Institute of Economy, Trade and Industry (RIETI).
    2. Luigi Aldieri & Concetto Paolo Vinci, 2017. "Theoretical and Empirical Foundations of Energy Production Efficiency Activity," International Business Research, Canadian Center of Science and Education, vol. 10(9), pages 39-49, September.
    3. KONDO Keisuke, 2018. "Markup and Market Size: Evidence from Japan," Discussion papers 18017, Research Institute of Economy, Trade and Industry (RIETI).

    More about this item

    Keywords

    spatial data; spatial lag; Stata;
    All these keywords.

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